Skip to content

Updates citation format and adds acknowledgment #87

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Aug 5, 2025
Merged

Updates citation format and adds acknowledgment #87

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
14 changes: 9 additions & 5 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -235,18 +235,22 @@ This project is licensed under the BSD 3-Clause License. See [LICENSE](LICENSE)
If you use Flash-DMA in your research, please cite:

```bibtex
@misc{flash_dma_2025,
title={Trainable Dynamic Mask Sparse Attention},
author={Jingze Shi and Yifan Wu and Bingheng Wu and Yiran Peng and Yuyu Luo},
year={2025},
url={https://github.com/SmallDoges/flash-dmattn}
@misc{shi2025trainabledynamicmasksparse,
title={Trainable Dynamic Mask Sparse Attention},
author={Jingze Shi and Yifan Wu and Bingheng Wu and Yiran Peng and Liangdong Wang and Guang Liu and Yuyu Luo},
year={2025},
eprint={2508.02124},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2508.02124},
}
```

## Acknowledgments

This project builds upon and integrates several excellent works:

- **[OpenSeek](https://github.com/FlagAI-Open/OpenSeek)** - Kernel development support
- **[Flash-Attention](https://github.com/Dao-AILab/flash-attention)** - Memory-efficient attention computation
- **[NVIDIA CUTLASS](https://github.com/NVIDIA/cutlass)** - High-performance matrix operations library

Expand Down